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1.武汉科技大学附属华润武钢总医院药学部,武汉 430080
2.武汉科技大学附属华润武钢总医院医疗保险部,武汉 430080
3.湖北中医药大学药学院,武汉 430070
Published:15 August 2024,
Received:19 February 2024,
Revised:06 June 2024,
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万雄飞,梁美锋,廖念等.多成分定量分析结合化学计量学和熵权TOPSIS法综合评价益肺清化膏质量 Δ[J].中国药房,2024,35(15):1837-1843.
WAN Xiongfei,LIANG Meifeng,LIAO Nian,et al.Comprehensive evaluation of Yifei qinghua ointment by multi-component quantitative analysis combined with chemometrics and entropy weight TOPSIS[J].ZHONGGUO YAOFANG,2024,35(15):1837-1843.
万雄飞,梁美锋,廖念等.多成分定量分析结合化学计量学和熵权TOPSIS法综合评价益肺清化膏质量 Δ[J].中国药房,2024,35(15):1837-1843. DOI: 10.6039/j.issn.1001-0408.2024.15.07.
WAN Xiongfei,LIANG Meifeng,LIAO Nian,et al.Comprehensive evaluation of Yifei qinghua ointment by multi-component quantitative analysis combined with chemometrics and entropy weight TOPSIS[J].ZHONGGUO YAOFANG,2024,35(15):1837-1843. DOI: 10.6039/j.issn.1001-0408.2024.15.07.
目的
2
采用多成分定量分析结合化学计量学和熵权逼近理想解排序(TOPSIS)法综合评价益肺清化膏质量。
方法
2
采用高效液相色谱法测定14批益肺清化膏(
S1~S14)中党参炔苷、紫丁香苷、毛蕊异黄酮葡萄糖苷、芒柄花苷、黄芪紫檀烷苷、黄芪异黄烷苷、黄芪甲苷、去芹糖桔梗皂苷E、桔梗皂苷E、桔梗皂苷D
3
、鸡矢藤次苷甲酯、车叶草苷酸、车叶草苷、麦冬甲基黄烷酮A和甲基麦冬二氢高异黄酮B的含量,然后利用化学计量学(主成分分析和正交偏最小二乘-判别分析)和熵权TOPSIS法对14批益肺清化膏的质量进行评价。
结果
2
化学计量学结果显示,14批益肺清化膏可聚为3类,编号S1~S6的样品为第Ⅰ类,编号S7~S10的样品为第Ⅱ类,编号S11~S14的样品为第Ⅲ类;毛蕊异黄酮葡萄糖苷、芒柄花苷、鸡矢藤次苷甲酯、黄芪甲苷、黄芪紫檀烷苷、党参炔苷、麦冬甲基黄烷酮A和桔梗皂苷E的变量重要性投影值均大于1。熵权TOPSIS分析结果显示,14批样品的最优解的欧氏贴近度在0.152 9~0.736 6之间,以编号S14样品最高(0.736 6)。
结论
2
14批益肺清化膏中以编号S14样品的质量最优,毛蕊异黄酮葡萄糖苷、芒柄花苷等8个成分可能是影响益肺清化膏质量的差异标志物。
OBJECTIVE
2
To comprehensively evaluate the quality of Yifei qinghua ointment by multi-component quantitative analysis combined with chemometrics and entropy weight-technique for order preference by similarity to ideal solution (TOPSIS) method.
METHODS
2
The contents of lobetyolin, syringin, calycosin 7-
O
-
β
-D-glucopyranoside, ononin, astraisoflavan-7-
O
-
β
-D-glucoside, isomucronulatol 7-
O
-glucoside, astragaloside Ⅳ, deapi-platycoside E, platycoside E, platycodin D
3
, feretoside, asperulosidic acid, asperuloside, methylophiopogonanone A and methylophiopogonanone B in 14 batches of Yifei qinghua ointment (S1-S14) were determined by high-performance liquid chromatography method. Then, the quality of 14 batches of Yifei qinghua ointment was analyzed by chemometrics (principal component analysis and orthogonal partial least-squares discriminant analysis) and entropy weight TOPSIS method.
RESULTS
2
The results of chemometrics showed that 14 batches of Yifei qinghua ointment could be clustered into three categories, S1-S6 as the first category, S7-S10 as the second category, and S11-S14 as the third category. The values of variable importance for projection of calycosin 7-
O
-
β
-D-glucopyranoside, ononin, feretoside, astragaloside
Ⅳ, astraisoflavan-7-
O
-
β
-D-glucoside, lobetyolin, methylophiopogonanone A and platycoside E were higher than 1. The results of the entropy weight TOPSIS method showed that the Euclidean closeness of the optimal solution of 14 batches of Yifei qinghua ointment were between 0.152 9 and 0.736 6, and that of sample S14 was the highest (0.736 6).
CONCLUSIONS
2
Among 14 batches of Yifei qinghua ointment, sample S14 has the best quality, and 8 components such as calycosin 7-
O
-
β
-D-glucopyranoside and ononin may be differential markers affecting the quality of Yifei qinghua ointment.
益肺清化膏高效液相色谱法多成分定量分析化学计量学熵权TOPSIS法质量评价
HPLC methodmulti-componentquantitative analysischemometricsentropy weight TOPSIS methodquality evaluation
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